similar to: Help with R: functions

Dear R-users I am relatively new to R, i hope my many novice questions are welcome. I have problems accessing some objects (specifically the random effects, correlation structure and variance function) from an object of class gls and lme. I used the following models: yah <- gls (outcome~ -1 + as.factor(Trial):as.factor(endpoint)+

Dear R - Users I have some problems fitting a linear mixed effects model using the lme function (nlme library). A sample data is as shown at the bottom of this mail. I fit my linear mixed model using the following R code: bmr <-lme (outcome~ -1 + as.factor(endpoint)+ as.factor(endpoint):trt, data=datt, random=~-1 + as.factor(endpoint) + as.factor(endpoint):trt|as.factor(Trial),

Dear R Users I have difficulties accessing the variance components for an lme fit when the variance covariance matrix of the random effects is not positive definite. Can anyone inform me on how to get by this ? Thanks in advance Pryseley --------------------------------- [[alternative HTML version deleted]]

Dear R-Users, Is it possible to get the covariance matrix from an lme model that did not converge ? I am doing a simulation which entails fitting linear mixed models, using a "for loop". Within each loop, i generate a new data set and analyze it using a mixed model. The loop stops When the "lme function" does not converge for a simulated dataset. I want to

Good day R-Users, I have a problem accessing some values in the output from the summary of an lme fit. The structure of my data is as shown below (I have attached a copy of the full data). id trials endp Z.sas ST 1 1 -1 -1 42.42884 1 1 1 -1 48.12007 2 1 -1 -1 43.42878 2 1 1 -1

Dear R - Users I have some problems fitting a linear mixed effects model using the lme function (from the library nlme). A sample data is as shown at the bottom of this mail. I fit my linear mixed model using the following R code: bmr <-lme (outcome~ -1 + as.factor(endpoint)+ as.factor(endpoint):trt, data=datt, random=~-1 + as.factor(endpoint) +

Dear R-users I intend to create a function which calls some smaller other functions in return. Some of these smaller functions all call some functions. I do not know a good way to do this. I tried using the source() function to include the smaller functions within the main functions before they are called. This does not work, or maybe i am not doing the right thing. For example: the

Dear R-Users I used the nlme library to fit a linear mixed model (lme). The random effect standard errors and correlation reported are based on a Log-Cholesky parametrization. Can anyone tell me how to get the Covariance matrix of the random effects, given the above mentioned parameters based on the Log-Cholesky parametrization?? Thanks in advance Pryseley

Hello R-users Is it possible to fit a three level linear mixed effect model in R? If anyone has an idea or sample code, i will appreciate it very much if i can receive it. I am reading the book by Pinheiro and Bates but have not come across that yet! Kind regards Pryseley --------------------------------- [[alternative HTML version deleted]]

Dear R-users Can anyone inform me of a library or more specifically functions that can maximise (or calculate) a Pairwsie likelihood from a data. Better still, i would like to know if there is a function (library) that fits regression models based on pairwise likelihoods. Thanks Pryseley --------------------------------- [[alternative HTML version deleted]]

Dear R users, Can someone inform me about a library/function in R that fits a Plackett-Dale model ? Thanks in advance Pryseley --------------------------------- [[alternative HTML version deleted]]

Dear R-Users I have a problem accessing some values in the output from the summary of an lme fit. I fit the model below: ggg <- lme (ST~ -1 + as.factor(endp):Z.sas + as.factor(endp), data=dat4a, random=~-1 + as.factor(endp) + as.factor(endp):Z.sas|as.factor(trials), correlation = corSymm(form=~1|as.factor(trials)/as.factor(id)), weights=varIdent(form=~1|endp)) hh

On Fri, 2023-07-28 at 19:55 +0000, Himanshi Yadav via samba wrote: > Jul 28 09:18:51 midway3-dm1.rcc.local winbindd[1056745]:??? #15 /lib64/libtevent.so.0(tevent_common_loop_immediate+0x27) [0x7fbf521f6ca7] > Jul 28 09:18:51 midway3-dm1.rcc.local winbindd[1056745]:??? #16 /lib64/libtevent.so.0(+0xed2f) [0x7fbf521fcd2f] > Jul 28 09:18:51 midway3-dm1.rcc.local winbindd[1056745]:??? #17

Dear R-users I have problems using lme The model i want to fit can be viewed as a two-level bivariate model Two-level bivariate: bivariate (S coded as -1,T coded as 1) endpoint within trial OR It can equivalently be considered as a three-level model.Three-level: endpoint within patient, patient within trial. My code tries to model the levels through a RANDOM statement and a

Would you consider the following patch to eval.c to allow compatibility with RCC? (It's in the applyClosure function.) @@ -432,6 +432,14 @@ SEXP f, a, tmp; RCNTXT cntxt; +#ifdef RCC + SEXP comp; + PROTECT(comp = getAttrib(op, install("RCC_CompiledSymbol"))); + if (comp != R_NilValue) /* compiled version exists */ + op = comp; + UNPROTECT(1); +#endif

Hi Experts, We encountered a weird issue after restarting the server. Seems everything working fine on the configuration side but the user?s not able to authenticate with the Samba server. Can you please help to investigate the issue? Our setup details and configuration file + error logs + service status. Samba:- 4.18.3-0 CentOS Linux release 8.4.2105 Authentication mechanism is SSSD [root at

Dear memberships, I'm trying to estimate the following multivariate local regression model using the "locfit" package: BMI=m1(RCC)+m2(WCC) where (m1) and (m2) are unknown smooth functions. My problem is that once I get the regression done I cannot get the fitted values of each of this smooth functions (m1) and (m2). What I write is the following library(locfit) data(ais)

A few years ago, one of our interns was curious about system time keeping features in computer systems.? This intern was also the proud owner of an inexpensive Radio-Controlled Clock. The intern wondered why computer motherboards were not just equipped with a chip like the ones in the RCC so that their system time would always be correct. I posted a question about this on the CentOS email list

Deepak, i think you can look to this option too : http://sourceforge.net/projects/rcc/ The project is in developpment....but within 1 or 2 weeks i think it will be a good project....especially who linux network''s owner. rgds, Erwan le Doeuff _______________________________________________ LARTC mailing list / LARTC@mailman.ds9a.nl http://mailman.ds9a.nl/mailman/listinfo/lartc HOWTO:

On 11.10.2016 18:39, Stefano Ricci wrote: > ---------- Forwarded message ---------- > From: Stefano Ricci <sfn.rcc@gmail.com> > Date: 2016-10-11 12:35 GMT+02:00 > Subject: Re: [libvirt-users] Problems connecting to the libvirtd server > To: Michal Privoznik <mprivozn@redhat.com> > [Please don't top post on technical lists] > > There is not AppArmor and